@inproceedings{d48dff29c6d142098b70d3d6405100dc,

title = "Information-theoretic attacks in the smart grid",

abstract = "Gaussian random attacks that jointly minimize the amount of information obtained by the operator from the grid and the probability of attack detection are presented. The construction of the attack is posed as an optimization problem with a utility function that captures two effects: Firstly, minimizing the mutual information between the measurements and the state variables; secondly, minimizing the probability of attack detection via the Kullback-Leibler (KL) divergence between the distribution of the measurements with an attack and the distribution of the measurements without an attack. Additionally, a lower bound on the utility function achieved by the attacks constructed with imperfect knowledge of the second order statistics of the state variables is obtained. The performance of the attack construction using the sample covariance matrix of the state variables is numerically evaluated. The above results are tested in the IEEE 30-Bus test system.",

author = "Ke Sun and Inaki Esnaola and Perlaza, {Samir M.} and Poor, {H. Vincent}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 ; Conference date: 23-10-2017 Through 26-10-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/SmartGridComm.2017.8340708",

language = "English (US)",

series = "2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "455--460",

booktitle = "2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017",

address = "United States",

}